IBM Showcases Strategic Digital Changes at the 2021 US Open

With spectators back in the stands for the first time since the start of the pandemic, the 2021 United States Open Tennis Championships (US Open) tournament faces its new normalcy — and the sports data analysis conducted during the event by IBM is no exception.

Continuing a relationship that stretches back about 30 years, IBM’s Open Hybrid Cloud, Watson, and other resources are put into play processing mountains of data generated by the performance of the competitors. As seen in years prior at the US Open, this can include working with unstructured data that must be transmuted into something more useable.

Though the 2020 US Open tournament was held, the COVID-19 pandemic forced the event to go remote with no audience in the stands. That was made possible in part through cloud technology that IBM made available. The 2021 tournament brought the introduction of IBM Power Rankings with Watson, which are AI-powered daily rankings of player performance at the US Open.

This year, in-person attendance resumes with proof of vaccination and other procedures in place to better ensure fan safety. Tuesday night of the US Open saw up-and-comer Holger Rune serve up a surprising challenge to Novak Djokovic, currently ranked as the men’s singles world No. 1 by the Association of Tennis Professionals. Top-seeded Djokovic won the match ultimately.

Holger Rune during the first round of the 2021 US Open. Credit: Joao-Pierre S. Ruth

Restrictions and changes necessitated by the ongoing COVID-19 pandemic also meant IBM could not offer a walkthrough of their technology centers behind the scenes at the Arthur Ashe Stadium in Queens, as was done in the past.

Still, the company gave a glimpse on Tuesday night into how it continues to turn fresh and historic data gathered from competitors at the US Open into content such as Power Rankings and projections on upcoming matchups.

The scale of the US Open, in terms of audience size and data, is substantial. “This is the largest annually attended sporting event in the world,” said Lewis Sherr, chief revenue officer with the United States Tennis Association (USTA), which hosts the tournament. Under normal circumstances, more than 850,000 fans attend the US Open in-person over the course of three weeks. The audience scale expands further when accounting for viewership from around the world. “We’re much more like an Olympic Games or World Cup than we are NBA or NFL teams that are domestically focused,” he said.

USTA’s relationship with IBM predates the existence of websites and evolved further of late in response to the pandemic. “The work we’re doing, leveraging cloud capabilities to be more efficient operationally, leveraging AI capability to allow our fans to engage more deeply in match analysis … it really is a testament to IBM’s ability to stay current and keep us at the leading edge in sports and entertainment tech,” Sherr said.

The work done by USTA and IBM over the decades to bring the tournament to fans wherever they are essentially fed into their strategy to adapt to the pandemics, said Kirsten Corio, USTA’s managing director of ticket sales, hospitality, and digital strategy. “It’s been part of our mission for years pre-pandemic.” 

Kirsten Corio, USTA’s managing director of ticket sales, hospitality, and digital strategy. Credit: Joao-Pierre S. Ruth

Bringing the US Open to fans in a digital way includes scores, stats, Power Ranking, and play schedule, Corio said, as well as increases engagement with casual tennis fans who might not be well-versed in all its nuances or newer players. “ dovetails nicely into some of the other features and functionality we’ve built that look at AI in a way that helps educate the fan,” she said.

Deconstructing what led to some of the more recent capabilities developed for the USTA and the US Open — it all started with the data, said John Kent, program manager for IBM’s sports and entertainment partnerships. Fans in the stands and viewers at home might see just a few data points such as serve speed during matches, but he said even more can be found below the surface. “There’s a lot of data floating off the court,” Kent said. “That’s what we call structured data. Player position, ball position, all that’s aggregated in. But with the use of AI, articles and blogs and video are data.”

Structured data such as how the player is performing factors into the power rankings, but he said they also can monitor what sports pundits are saying to better determine those power rankings. This also offers some opportunity to predict the potential outcome of matches, derived from data. “We can put for any head-to-head match the likelihood of a player to win,” Kent said.

IBM Open Hybrid Cloud enabled such computing power, he said, along with Red Hat OpenShift technology for development. “The subset applications for Power Rankings and match insights, there’s multiple applications,” Kent said. “They have different needs.” He said hybrid cloud offers the flexibility for connectivity most everywhere.

Related Content:

IBM Puts Red Hat OpenShift to Work on Sports Data at US Open

IBM Esports and Interxion Talk Lessons from Cloud Gaming Tech

Topspin and Terabytes: IBM Ups Its Cloud Game at the Masters

Note: This article have been indexed to our site. We do not claim legitimacy, ownership or copyright of any of the content above. To see the article at original source Click Here

Related Posts
Three "Science" published together, scientists have a new understanding of the incidence of cancer thumbnail

Three “Science” published together, scientists have a new understanding of the incidence of cancer

很多癌症都和基因突变有关,因此许多科学家们也在DNA的层面上寻找癌症发生的原因,探索DNA上的哪些异常会导致癌症。但这个看待癌症的角度可能已经落伍了。今日《科学》杂志一口气发表了三篇重磅研究论文,使得我们能超越DNA,对癌症产生全新的认知。“这是癌症研究的一个全新方式。”共同领导这些研究的Nevan Krogan教授兴奋地说道。 研究人员们指出,我们的基因不过是细胞合成蛋白质的指南。真正在人体里起到生理作用的,那还得是这些蛋白质。不同的蛋白质在身体里有时候会相互结合,形成复合体,调节各种功能。基因突变之所以会引起疾病,很大程度上是因为会影响到这些蛋白质的功能。"=""color=>这个观点能让我们更好地理解癌症如何发生。比如说在身体里,有两个蛋白质会形成一个关键的复合体,修复受损的DNA。而一旦编码这两个蛋白质的基因上出现了什么变异,这两个蛋白质的结构就可能出现变化。如果这些变化让它们无法相互作用,就无法形成蛋白复合体来修复DNA。"=""color=>可以想象,久而久之,细胞里的受损DNA就会越积越多,最终发生质变,引起癌症。既然如此,我们能否基于对已知致癌突变的理解,将目光聚焦于蛋白质的相互作用,重新理解癌症的发生呢?这正是该团队所做的工作。首先,他们从头颈癌和乳腺癌中找到了近60条最常出现变化的基因,分析它们的蛋白产物能形成怎样的复合体。同时,研究人员们也使用健康细胞里的复合体作为对比。这样一来,我们就能知道在癌细胞里,这些蛋白复合体究竟出现了怎样的变化。"=""color=>在头颈癌(也是全球第六大恶性癌症)中,科学家们总共揭示了771个蛋白之间的相互作用,其中84%是全新发现。这些发现有助于我们理解抗癌药物是否能起效,比如常见的癌症相关蛋白PIK3CA会结合HER3受体酪氨酸激酶,而不同的突变会影响两者之间的结合。于是虽然药物针对的都是HER3,但PIK3CA上的一些突变会让药物生效,另一些突变反而会让药物失效。"=""color=>此外,一类全新的蛋白相互作用也引起了科学家的关注——他们发现FGFR酪氨酸激酶3与Daple蛋白之间也会出现相互作用,从而激活下游通路,促进癌细胞的转移。这就带来了全新的治疗思路,比如通过FGFR抑制剂来抑制癌症的转移。"=""color=>而在乳腺癌里,他们找到的蛋白质相互作用中,同样有79%是全新发现。有意思的是,同样是常见的PIK3CA突变,在乳腺癌里,科学家们发现它还能结合两个其它蛋白。这也表明即便是同一种癌症相关蛋白,在不同细胞里也会具有不同的功能,激活不同的信号通路。"=""color=>此外,研究人员们还发现了常见乳腺癌相关蛋白BRCA1会与一种叫做UBE2N的蛋白进行结合。这一发现有望让我们知道,目前的一类乳腺癌治疗药物是否会起作用。“这些细节能告诉我们现有的药物能起到怎样的疗效,或是解释为何药物不起效。”这些研究的另外一名负责人Trey Ideker教授说道。"=""color=>为了更好地服务整个癌症研究领域,研究人员们将这些蛋白相互作用的数据与公开数据库里的数据进行了整合,构建了一个全新的工具,便于其它研究者分析和验证。他们相信,这一工具有望让我们更好地认识致癌基因/蛋白的作用,并找到潜在的治疗靶点。"=""color=>我们也期望这些科学突破能早日得到转化应用,造福更多癌症患者!
Read More
The best camera phones for 2022 thumbnail

The best camera phones for 2022

The best camera phone is the Google Pixel 6 Pro. It's definitely a close call, but Google's latest phone tops Apple's iPhone 13 Pro in our head-to-head contest. The Pixel 6 Pro's pictures are eye-poppingly attractive, colorful, and instantly shareable, making it one of the best camera phones around. But if you're not a fan…
Read More
Want to delete Spotify? These are the alternatives thumbnail

Want to delete Spotify? These are the alternatives

Enlarge / Replacing Spotify used to be difficult, but its competitors have caught up in many areas.Samuel AxonToday, Spotify is the dominant streaming music platform in several regions, including the United States. But lately there has been a lot of interest among Spotify users in trying something new. Some are just curious to see what…
Read More
The Perseverance Rover Has a Little Pebble Problem thumbnail

The Perseverance Rover Has a Little Pebble Problem

The Perseverance rover has run into a snag, after a Martian rock sample extracted on December 29 didn’t transfer correctly into the rover’s long-term storage. NASA is currently working on how to remove debris from the rover’s machinery before proceeding with more sampling.Louise Jandura, chief engineer for sampling and caching at NASA’s Jet Propulsion Laboratory,…
Read More
Apple Podcasts now recommends shows to follow through ‘Listen With’ famous people feature thumbnail

Apple Podcasts now recommends shows to follow through ‘Listen With’ famous people feature

There’s a new way to discover new shows on Apple Podcasts starting today – a new “Listen With” editorial collection surfaces podcasts based on what artists, journalists, and podcasters recommend. Apple is also sharing new insight into how its recently launched paid subscription feature for podcasters is performing. Listen With Apple’s all-new “Listen With” collection…
Read More
Index Of News